Ethnicity, Life Satisfaction, Stress, Familiarity, and Stigma Toward Mental Health Treatment

Crowe, Allison; Kim, Tae-Hee

doi:10.1002/jcad.12302

Cited by 24 publications

(16 citation statements)

References 45 publications

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“…This association suggests that individuals with better life satisfaction are more likely to adopt a self-actualising attitude and may adopt a more positive attitude towards mental illness. However, the present findings are not in line with those of Crowe and Kim [ 24 ], who reported no evidence of an association between life satisfaction and stigma. Nevertheless, the authors selected the attitude towards mental health treatment as the outcome variable, an indicator of intended help-seeking behaviour.…”

Section: Discussioncontrasting

confidence: 99%

“…Therefore, studies on the impact of socioeconomic factors on public stigma should account for the level of mental health literacy. In addition to basic demographics, life satisfaction, which could represent general mental wellbeing while considering life stress, is also related to mental health attitudes among the general population [ 18 , 24 ]. However, studies that comprehensively explore these factors have been limited.…”

Section: Introductionmentioning

confidence: 99%

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Sociodemographic correlates of public stigma about mental illness: a population study on Hong Kong’s Chinese population

Suen

Sum

et al. 2021

BMC Psychiatry

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Background Individuals with psychiatric disorders are often unwilling to seek help or often follow treatment regimens, fearing public stigma. This study identified the sociodemographic correlates of public stigma while accounting for mental health literacy and life satisfaction. Methods This study analysed data for 1514 individuals who participated in a population-based random telephone survey conducted in 2018. Sociodemographic characteristics included gender, age, education level, and occupation. Data on public stigma, mental health literacy, and life satisfaction were also collected. Multiple linear regression was conducted to examine the effects of sociodemographic characteristics on public stigma. A moderation analysis was performed to investigate the role of age and education in the relationship between mental health literacy and public stigma. Results Sociodemographic characteristics, such as female gender, older age, lower education, and occupation (particularly retired and homemakers), were associated with a higher public stigma. The association between public stigma and mental health literacy was the most significant among individuals aged 50 years and above with lower education levels. Conclusions This study showed that certain population subgroups, based on their sociodemographic profile, have a higher stigma about mental illnesses. Understanding the differential effects of sociodemographic factors on public stigma is imperative to developing effective anti-stigma campaigns.

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Section: Discussioncontrasting

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sociodemographic correlates of public stigma about mental illness: a population study on Hong Kong’s Chinese population

Suen

Sum

et al. 2021

BMC Psychiatry

View full text Add to dashboard Cite

show abstract

“…This association suggests that individuals with better life satisfaction are more likely to adopt a self-actualising attitude and thus seek knowledge about mental health and adopt a more positive attitude towards mental illness. The present ndings, however, are not in line with those of Crowe and Kim [24], who reported no evidence of an association between life satisfaction and stigma. Nevertheless, the authors selected the attitude towards mental health treatment as the outcome variable, which is an indicator of intended help-seeking behaviour.…”

Section: Discussioncontrasting

confidence: 99%

“…Therefore, studies on the impact of socioeconomic factors on public stigma should account for the level of mental health literacy. In addition to basic demographics, life satisfaction, which could be a representation of general mental wellbeing while taking life stress into consideration, is also related to mental health attitudes among the general population [18,24]. Yet, studies that comprehensively explore these factors have been limited.…”

Section: Introductionmentioning

confidence: 99%

Socio-demographic correlates of public stigma about mental illness: a population study on Hong Kong’s Chinese population

Suen

Sum

et al. 2021

Preprint

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Background Individuals with psychiatric disorders are often unwilling to seek help or often follow treatment regimens, fearing public stigma. This study identified the sociodemographic correlates of public stigma while accounting for mental health literacy and life satisfaction. Methods This study analysed data for 1,514 individuals who participated in a population-based random telephone survey conducted in 2018. Sociodemographic characteristics included gender, age, education level, and occupation. Data on public stigma, mental health literacy and life satisfaction were also collected. A multiple linear regression was conducted to examine the effects of sociodemographic characteristics on public stigma. A moderation analysis was performed to investigate the role of age and education in the relationship between mental health literacy and public stigma. Results Sociodemographic characteristics, such as female gender, older age groups, lower education, and occupation (particularly retired and homemakers), were associated with a higher public stigma. The association between public stigma and mental health literacy was the most significant among individuals aged 50 years and above and with lower education levels. Conclusions This study showed that certain population subgroups, based on their sociodemographic profile, have higher stigma about mental illnesses. Understanding the differential effects of sociodemographic factors on public stigma is imperative to developing effective anti-stigma campaigns. Keywords public stigma, mental health literacy, sociodemographic correlates, anti-stigma campaigns

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“…The targeting of hard-to-reach populations, such as community samples, for different research designs is also a strength of crowdsourcing platforms. For example, researchers can use platforms such as MTurk and Qualtrics to screen for levels of substance use as a study criterion (e.g., Gutierrez, 2019) or hard-to-reach demographic characteristics (e.g., Crowe & Kim, 2020). Crowdsourcing platforms could be useful in scale development and evaluation research (e.g., Oh & Shillingford-Butler, 2020) or public opinion surveys about the counseling profession (e.g., MacLeod et al, 2016).…”

Section: Strengths Of Crowdsourcing Samples In Counseling Researchmentioning

confidence: 99%

Crowdsourcing for Online Samples in Counseling Research

Mullen

Fox

Goshorn

et al. 2021

Jour of Counseling & Develop

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The use of panels and registration systems for sampling procedures in counseling research offers an innovative method of recruiting participants. Websites such as Amazon's Mechanical Turk, provide quick access to pools of participants for an assortment of research designs. Other sites such as Qualtrics and SurveyMonkey Audience offer tailored and targeted searches and recruitment of specific samples to create online panels. Although these methods of accessing a sample provide ease of access and flexibility of design, there are several cautions to consider when using them for counseling research. In this article, we accomplish several aims: (a) define and describe the concept of crowdsourcing research participation, (b) describe some benefits and cautions about their use, and (c) present different applications of this approach to sampling. We also note the implications of this sampling method for counseling research.

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Ethnicity, Life Satisfaction, Stress, Familiarity, and Stigma Toward Mental Health Treatment

Cited by 24 publications

References 45 publications

Sociodemographic correlates of public stigma about mental illness: a population study on Hong Kong’s Chinese population

Sociodemographic correlates of public stigma about mental illness: a population study on Hong Kong’s Chinese population

Socio-demographic correlates of public stigma about mental illness: a population study on Hong Kong’s Chinese population

Crowdsourcing for Online Samples in Counseling Research

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